Insider Risk

Insider risk refers to the threat that employees, contractors, or other trusted insiders pose to an organization's AI systems and data, whether through malicious intent, negligence, or compromised credentials. In AI governance, insider risk matters because people with access to training data, model code, or deployment infrastructure can steal intellectual property, introduce vulnerabilities, exfiltrate sensitive information used to train models, or manipulate AI systems in ways that external audits may not catch. Organizations need controls like access logging, separation of duties, and monitoring of unusual behavior to detect and prevent insider threats before they damage compliance posture or create liability.

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Corporate PolicyUS2026-10-02

OpenAI Fires Three Safety Researchers for Alleged Confidential Disclosures

OpenAI dismissed three safety researchers who allegedly shared confidential company information with a third-party AI safety organization, citing internal policy violations. The departures follow a New York Times report describing a pattern of safety concerns being deprioritized by OpenAI executives. The episode raises direct questions about the adequacy of internal safety escalation channels and whistleblower protections at frontier AI labs.

OpenAI AI safety insider risk whistleblower vendor governance safety culture frontier AI